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1 change: 1 addition & 0 deletions .quarto/idx/downloads.qmd.json
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{"title":"Downloads","markdown":{"headingText":"Downloads","containsRefs":false,"markdown":"\n\nYou can download PDF versions of the slides below:\n\n- [Introduction](slides/00-intro.pdf)\n- [UA Overview](slides/01-ua_overview.pdf)\n- [DemoLand](slides/02-demoland.pdf)\n- [GDS Book](slides/03-gds_book.pdf)\n\n","srcMarkdownNoYaml":""},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":false,"echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":null,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"markdown"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","toc":true,"highlight-style":"atom-one","output-file":"downloads.html"},"language":{"toc-title-document":"Table 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1 change: 1 addition & 0 deletions .quarto/idx/index.qmd.json
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{"title":"Urban Analytics - A Lecture","markdown":{"headingText":"Urban Analytics - A Lecture","containsRefs":false,"markdown":"\nThis resource contains materials for a 4h lecture on Urban Analytics. It also\ncontains the video recorded during the lecture delivery for the [MSc Engineers\nfor Smart Cities](https://univ-cotedazur.fr/formation/offre-de-formation/msc-engineers-for-smart-cities)\n(Université Côte d'Azur) in November 2023.\n\n## Contact\n\n> Dani Arribas-Bel, PhD\n>\n> [`darribas.org`](https://darribas.org) | \n> [`@darribas@mapstodon.space`](https://mapstodon.space/@darribas)\n>\n> Deputy Director, Urban Analytics \\\n> The Alan Turing Institute\n>\n> Professor in Geographic Data Science \\\n> Geographic Data Science Lab \\\n> University of Liverpool\n\n","srcMarkdownNoYaml":""},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":false,"echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":null,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"markdown"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","toc":true,"highlight-style":"atom-one","output-file":"index.html"},"language":{"toc-title-document":"Table 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1 change: 1 addition & 0 deletions .quarto/idx/slides/00-intro.qmd.json
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{"title":"MSc Engineers for Smart Cities","markdown":{"yaml":{"title":"MSc Engineers for Smart Cities","subtitle":"Université Côte d'Azur","author":"Dani Arribas-Bel","format":{"revealjs":{"theme":["serif","journal.scss"],"logo":"fig/logos.png","navigation-mode":"grid"}}},"headingText":"`whoami` - Dani Arribas-Bel","containsRefs":false,"markdown":"\n\n\n:::: {.columns}\n\n::: {.column width=\"30%\"}\n\n![](https://darribas.org/assets/img/dab_small.jpg)\n\n:::\n\n::: {.column width=\"70%\"}\n\n- Deputy Director Urban Analytics <br> [The Alan Turing\n Institute](https://turing.ac.uk)\n- Professor in Geographic Data Science <br> [University of\n Liverpool](https://www.liverpool.ac.uk/environmental-sciences/staff/daniel-arribas-bel/)\n- Employee No. 2 <br> [Geographic Data Science\n Lab](https://liverpool.ac.uk/geographic-data-science)\n\n:::\n\n::::\n\n[`https://darribas.org`](https://darribas.org) | [`@darribas@mapstodon.space`](https://mapstodon.space/@darribas)\n\n## Materials\n\n> [`darribas.org/ua_lecture`](https://darribas.org/ua_lecture)\n\n## Outline\n\n1. Urban Analytics & City Science: Overview\n1. Urban Analytics in the wild: the DemoLand project\n1. *Geographic Data Science with Python*\n\n\n","srcMarkdownNoYaml":"\n\n## `whoami` - Dani Arribas-Bel\n\n:::: {.columns}\n\n::: {.column width=\"30%\"}\n\n![](https://darribas.org/assets/img/dab_small.jpg)\n\n:::\n\n::: {.column width=\"70%\"}\n\n- Deputy Director Urban Analytics <br> [The Alan Turing\n Institute](https://turing.ac.uk)\n- Professor in Geographic Data Science <br> [University of\n Liverpool](https://www.liverpool.ac.uk/environmental-sciences/staff/daniel-arribas-bel/)\n- Employee No. 2 <br> [Geographic Data Science\n Lab](https://liverpool.ac.uk/geographic-data-science)\n\n:::\n\n::::\n\n[`https://darribas.org`](https://darribas.org) | [`@darribas@mapstodon.space`](https://mapstodon.space/@darribas)\n\n## Materials\n\n> [`darribas.org/ua_lecture`](https://darribas.org/ua_lecture)\n\n## Outline\n\n1. Urban Analytics & City Science: Overview\n1. Urban Analytics in the wild: the DemoLand project\n1. *Geographic Data Science with 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